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Updated: Jul 10, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Epidemiology of stroke after cardiac surgery in the current era
Ani C Anyanwu1, Farzan Filsoufi, Sacha P Salzberg
1Department of Cardiothoracic Surgery, Mount Sinai Medical Center, New York, NY, USA.
Insights
Stroke incidence after diverse cardiac surgery is low at 2.6%. A logistic model identifies 10 preoperative predictors, aiding in patient selection and stroke prevention research.
Area of Science:
- Cardiology
- Neurosurgery
- Public Health
Background:
- Previous stroke epidemiology studies focused on coronary bypass surgery, limiting applicability to diverse contemporary cardiac surgery populations.
- Understanding stroke risk in varied cardiac surgical procedures is crucial for modern patient care.
Purpose of the Study:
- To examine the epidemiology of stroke in a contemporary, heterogeneous cardiac surgery population.
- To identify preoperative predictors of stroke after cardiac surgery.
- To develop a predictive model for stroke risk in cardiac surgery patients.
Main Methods:
- Retrospective analysis of a prospective database of 5085 adult patients undergoing various cardiac surgeries between 1998-2004.
- Analysis included coronary bypass, isolated valve, valve/coronary bypass, thoracic aorta, transplant/assist device, and adult congenital procedures.
- Multivariate logistic regression identified preoperative stroke predictors.
Main Results:
- Overall stroke incidence was 2.6% (134 patients), with variations by procedure (e.g., 1.7% for coronary bypass, 4.6% for ascending aorta).
- Stroke patients had significantly higher perioperative mortality (32.8% vs 4.9%) and longer hospitalizations (30 vs 7 days).
- Ten preoperative predictors were identified: gender, age, aortic surgery, prior stroke, critical state, poor ventricular function, diabetes, peripheral vascular disease, unstable angina, and pulmonary hypertension.
Conclusions:
- A relatively low stroke incidence was observed in a diverse contemporary cardiac surgical cohort.
- A developed logistic model can identify high-risk patients preoperatively.
- The model aids in improving patient counseling, selection, and defining cohorts for stroke prevention research.
Objective:
Previous studies of the epidemiology of stroke in patients undergoing cardiac surgery have been based primarily on patients having coronary bypass surgery and therefore have limited applicability to the more heterogenous populations seen in the current era. We examine the epidemiology of stroke after cardiac surgery in a contemporary surgical population.
Methods:
Retrospective analysis was conducted of a prospective database of 5085 adults (coronary bypass 2401, isolated valve 1003, valve/coronary bypass 546, thoracic aorta 517, transplant/assist device 179, adult congenital 124, other 315) who had cardiac surgery at a single institution over a 6-year period (1998-2004).
Results:
Stroke occurred in 134 (2.6%) patients. Incidence varied according to procedure (coronary bypass 1.7%, isolated valve 1.8%, valve/coronary bypass 4.4%, and ascending aorta 4.6%). Patients who had a stroke had a higher perioperative mortality rate than that of patients who did not (32.8% vs 4.9%; P < .0001) and a longer period of hospitalization (median 30 days vs 7 days; P < .0001). Multivariate logistic analysis identified 10 preoperative predictors of stroke: gender, age, aortic surgery, previous stroke, critical preoperative state, poor ventricular function, diabetes, peripheral vascular disease, unstable angina, and pulmonary hypertension. A logistic model was developed on the basis of these risk factors to predict the likelihood of stroke.
Conclusions:
We have demonstrated a relatively low incidence of stroke in a diverse contemporary cardiac surgical cohort. By enabling preoperative identification of patients at risk, our logistic model has the potential to improve preoperative patient counseling and selection and could help to define high-risk cohorts for research into stroke prevention.
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